期刊文献+

基于作者关键词耦合分析的研究专业识别方法研究 被引量:21

Research on AKCA-Based Research Specialty Identification
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摘要 本文从研究主题、学术交流、知识基础、期刊四个角度对Morris的研究专业概念进行了操作化定义,并以此提出了研究专业特征的相关假设。统计检验结果表明,作者关键词耦合分析结果中作者类簇具有研究专业的特征,进而证明了基于作者关键词耦合的研究专业识别方法的有效性。尽管本文的研究结论相对保守,但其稳健性还是较高的。由于研究数据样本所限,本文研究结论的普适性仍有局限。在未来研究中本文将通过其他领域的实证研究,进一步对基于作者关键词耦合的研究专业识别方法进行实证与完善。 The concept of research specialty proposed by Morris is operationalized from perspectives of topic, communication, knowledge base and journal, which also is the foundation of hypothesis on features of research specialty. The results of hypothesis testing indicate that the author clusters identified by Author Keywords Coupling Analysis (AKCA) have the features of research specialty, which gives a strong support for the validity of AKCA-based Research Specialty Identification method. Though the conclusion is conservative, its robustness is high. More empirical researches in other research fields are needed for AKCA-Based Research Specialty Identification to overcome population limitation of this research.
出处 《情报学报》 CSSCI 北大核心 2013年第8期788-796,共9页 Journal of the China Society for Scientific and Technical Information
基金 国家社会科学基金项目(12CTQ030)
关键词 作者关键词耦合分析 研究专业 基于作者关键词耦合分析的研究专业识别 author keywords coupling analysis, research specialty,AKCA-Based research specialty identification
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参考文献14

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